I am a fifth year graduate student in the social sciences at Caltech.
My research interests lie primarily in microeconomic theory, especially social learning, social choice, and mechanism design. My current work is focused on social learning on networks, and in particular on the role of network structure in determining the quality of long-term population-level outcomes.
Feel free to reach out (email@example.com), especially if you want to chat about research!
"Project Selection with Partially Verifiable Information"
Sumit Goel, Wade Hann-Caruthers, presented at Conference on Web and Internet Economics (WINE 2022)
"Optimality of the coordinate-wise median mechanism for strategyproof facility location in two dimensions"
Sumit Goel, Wade Hann-Caruthers, Social Choice and Welfare
"Equitable voting rules"
Laurent Bartholdi, Wade Hann-Caruthers, Maya Josyula, Omer Tamuz, Leeat Yariv, Econometrica
"Additive conjugacy and the Bohr compactification of orthogonal representations"
Zachary Chase, Wade Hann-Caruthers, Omer Tamuz, Mathematische Annalen
"A deterministic protocol for sequential asymptotic learning"
Yu Cheng, Wade Hann-Caruthers, Omer Tamuz, IEEE International Symposium on Information Theory (ISIT)
"The speed of sequential asymptotic learning"
Wade Hann-Caruthers, Vadim V. Martynov, Omer Tamuz, Journal of Economic Theory